\section{Related Works}
	
	As the project revolves around data warehouse design, several general topics relates directly to the work. Some related works are included as they are similar in execution. For instance, in data warehousing, airport baggage handling is closely related to supply chain management, which has been studied extensively with regard to RFID-tags, by for example \cite{warehousingandminingmassive}, although the application domain and purpose differs slightly from ours.

	Data warehousing has also been developed for generic portable device services, by allowing non-normalized dimension hierarchies \cite{2004jensen}.
	
	As for the general topics involved in this paper, the design of dimensions, including selection of appropriate schema, is an essential topic when designing any form of data warehouse. Schemas and datawarehouse design is discussed in \cite{thebookoftorben}. 
	
	Also related are Extract-load-transform (ETL) tools, which extracts and transforms data from a source before it is loaded into the data warehouse. A part of this topic which is not discussed is the process of data cleaning for handling errors in the source data \cite{RFIDdatabasemodelforanalysingmovement} 
	not focus in report, but ETL and data cleaning also related.
	
	Detecting when bags are following suboptimal routes is a key purpose of the system. Discovering and correlating traits in movement patterns are discussed in \cite{RFIDdatabasemodelforanalysingmovement}.
	
	Data aggregation and querrying are used when accessing the database and are further discussed in \cite{RFIDdatabasemodelforanalysingmovement}.
	
	General application of storage of spatial/temporal data is found in \cite{temporalmanagementofRFIDdata}.
	
	None of these papers, however, deal specifically with airport baggage handling. While supply chain management deals with ensuring that an appropriate amount of stock is transported to the appropriate warehouses via more-or-less static routes, baggage handling faces much less static routes for the individual bags and the problem of bags being mishandled and sent to another destination than their owners. This problem of individual items being sent to the wrong destination is more or less non-existent in supply chain management, where the main problem is not which single items to transport, but rather the quantity of items to transport in bulk.
	
	As such, this data warehouse has more focus on the paths traveled by the items, and the timing of these, rather than the amounts of items that travel.
	
	%\footnote{NOTE TO TANVIR:we have a source which we havent read but have seen cited which sounds like a good source, should we add it despite not having read it? \cite{kimball2004data}}